Create Training Set

Model Title

Train	application_name	system_name	processors	num_mpi	num_omppn	input	frequency	executable_name	scenario	frequency	papi_tot_cyc	papi_tot_ins	papi_l1_tcm	papi_l2_tcm	papi_fml_ins	papi_br_tkn	papi_l2_ldm	papi_l2_stm	papi_fdv_ins	papi_br_cn	papi_tot_iis	papi_ca_shr	papi_ca_cln	papi_ca_itv	papi_br_ntk	papi_br_msp	papi_fp_ins	papi_res_stl	papi_l1_ldm	papi_l1_stm	papi_l2_tcw	papi_l2_dca	papi_l2_dcr	papi_l2_dcw	papi_l1_icm	papi_br_ins	papi_l1_dch	papi_l1_dca	papi_l1_dcm	papi_l1_tca	papi_l1_ica	papi_fp_ops	papi_l2_ica	papi_tlb_dm	papi_vec_ins	papi_l2_dcm	papi_l2_icm	papi_l2_tch	papi_l2_tca	papi_ld_ins	papi_sr_ins	papi_tlb_im	papi_hw_int	papi_l3_tcm	nruntime	power_sys	power_cpu	power_mem	num_mpi	num_omppn	scaling_factor
	gtcmpi	systemg	30	10	3	Particles in Cell=50.0	2.4	gtcmpi	empirical	2.4	1	0.9354721700046936	0.0087529939349566	0.0031022976812287	0.1590932962326643	0.0367671710149016	0.0	0.0021855567099576	0.0033330575244402	0.0379401489275451	1.000781991417169	0.0035952618408354	0.0001071397395898	2.88622671604e-05	0.0216608477255545	0.0010059596807433	0.3004599106244837	0.3087255998403977	0.0180516500482365	0.0008346170548435	0.0008346170548435	0.0	0.0180558346351908	0.0008473813061363	8.95561445672e-05	0.0583333338036457	0.0	0.4068882532118293	0.0086795434464151	0.0	0.9950700378789036	0.3021219662754028	0.0001889635620911	9.0481931439e-06	0.0114581414069766	0.0	4.4500685698e-06	0.0	0.0190830647795288	0.2828987920189442	0.087711085012174	4.968197316e-07	4.453431781e-07	0.0	4.2254350878e-10	272.1987	95.75	86.3908	10	3	183127868236.376413043